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Geophysics – PhD fellowship in Climate Science, UCPH, Denmark

University of Copenhagen (UCPH)

Denmark

The Niels Bohr Institute (NBI) and the Danish Meteorological Institute (DMI) invites applicants for a PhD fellowship in mapping of Greenland surface temperatures at the University of Copenhagen, Denmark – Oct 2021.

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General Info

Position: PhD
No. of Positions: 1
Research Field: , , ,
Deadline to Apply: Expired
Joining Date: Dec 15, 2021
Contract Period: Not Mentioned
Salary: According to Standard Norms

Workplace:
Niels Bohr Institute
Danish Meteorological Institute
University of Copenhagen (UCPH)
Copenhagen K,

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Qualification Details

We are looking for candidates within the field(s) of geophysics, environmental sciences, physics or engineering. Experience with time series analysis, remote sensing, climatology, scientific programming and machine learning algorithms is an advantage.

  • Professional qualifications relevant to the PhD project
  • Relevant publications
  • Relevant work experience
  • Other relevant professional activities
  • Curious mind-set with a strong interest in Climate Science
  • Good language skills

Responsibilities/Job Description

This PhD project will design, develop, build and run a sustainable ArtificiaI Intelligence/Machine Learning (AI/ML) system to create a consistent near-surface air temperature data set with verified uncertainty information covering all of Greenland from 1873 to present.

  • Carry through an independent research project under supervision
  • Complete PhD courses corresponding to approx. 30 ECTS / ½ FTE
  • Participate in active research environments, including a stay at another research institution, preferably abroad
  • Teaching and knowledge dissemination activities
  • Write scientific papers aimed at high-impact journals
  • Write and defend a PhD thesis on the basis of your project

The project will be utilizing Earth Observation surface skin temperature observations, DMIs land station network observations, PROMICE observations and ice core bore hole temperature records to derive a homogenous surface air temperature data set across all snow covered surfaces of Greenland. Surface air temperatures are not observed directly by satellite, and the other observation types have different characteristics and unique uncertainty budgets. AI/ML methods will therefore be developed to link the different observations, quality control the historical station data and to derive a consistent near surface air temperature record for all Greenland from 1873 to present.

This new surface temperature product linking long DMI temperature records from Greenland with geographically distributed temperature patterns from satellite based Earth Observations can be used directly to assess climate change. Furthermore, it can be used in climate and Earth System models. At the same time, the project will be using DMI’s unique Greenland station data and making them available for climate assessment.

The project includes the following steps:

  1. Homogenization and initial quality control of DMIs historical observations.
  2. Build understanding of relationships between different observation types.
  3. Derive relationships between surface skin temperature observations and surface air temperatures, with uncertainties, to be used together with homogenized in situ records.
  4. Analysis and in-filling methods: novel statistical methods will be developed.
  5. Build and run a sustainable AI/ML system to create a daily near-surface air temperature data set.
  6. Product generation, verification and comparison against existing products.

 

The project is building on unique data sets at DMI, i.e. the Greenland climate station network, the satellite IST AASTI data set, the Qaanaaq sea ice station and also on experience from the EU EUSTACE project and the C3S Arctic Regional Reanalysis (CARRA) dataset. In addition, borehole temperatures from Niels Bohr Institute’s section Physics of Ice, Climate and Earth will be included in the analysis.

How to Apply?

Online Application through "Apply Now" Button from this page or from advertisement webpage (URL below)

Reference Number: -
(If any, use it in the necessary place)

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Documents Required

Please include:

  1. Motivated letter of application (max. one page)
  2. Your motivation for applying for the specific PhD project
  3. Curriculum vitae including information about your education, experience, language skills and other skills relevant for the position
  4. Original diplomas for Bachelor of Science or Master of Science and transcript of records in the original language, including an authorized English translation if issued in another language than English or Danish. If not completed, a certified/signed copy of a recent transcript of records or a written statement from the institution or supervisor is accepted.
  5. Publication list (if possible)
  6. Reference letters (if available)

About the Employer: University of Copenhagen (UCPH)

Note or Other details

Interviews with selected candidates are expected to be held in week 43

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Contact details

Principal supervisor is Associate Professor Bo M. Vinther, PICE, NBI. (E-mail: bvinther@nbi.ku.dk, Phone: +4520644144). DMI contact is Head of Remote Sensing, Ph.D. Jacob L. Høyer (E-mail: jlh@dmi.dk, Phone: +4539157203)

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